Why study this course In the Foundation year you will study three days per week. The focus will be on academic writing skills and numeracy, plus subject-specific content to fully prepare you for entry to an Undergraduate degree. The course is taught by experienced academic who are deeply involved in research and in collaboration with industry in robotics and are also able transfer their knowledge and skills to the students. The course also provides the students with opportunities of working with industry so that theoretical underpinning is enhanced in real-life experience. It enables the students to meet tomorrow’s demands of society.
Facilities
Location
Start date
Luton
(Bedfordshire)
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University Of Bedfordshire Business School, Luton Campus (Vicarage Street), LU1 3JU
Start date
On request
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Subjects
Artificial Intelligence
Industry
Course programme
Who’s this course for? This is a challenging and innovative new course in a huge growth area. It will provide you with a sound conceptual grounding in intelligent systems, and opportunities to apply theoretical knowledge in a practical setting. With access to a wide range of hi-tech robotic equipment, including humanoid robots, robotic arms and wheeled robotic platforms, you will develop the technical capabilities to control machines with software. You'll also be supported by an experienced and committed team of experts, who will equip you with the latest knowledge and skills sought by employers. Overall, the course is an ideal base for a career in AI, robotics, or a combination of both. Modular structure This course provides students with both academic and vocational skills to pursue academic and professional careers in industry and commerce. Completing graduates will develop their academic, creative and thinking abilities. Educational aims of the course are to widen students ability to: Be creative and judgmental. Acquire knowledge and understanding of Robots and AI. Apply such knowledge to analyse problems at hand and to evaluate possible solutions. Formulate correct procedures for problem solutions. Communicate findings to peers.
Additional information
Skills and experience gained Upon successful completion of this course, you will be able to: Present a sound theoretical and conceptual representation of intelligent systems. Apply AI techniques to the design of robots and theorise on the nature of future developments in this field. Design and build robots to perform specific tasks and reflect upon the efficiency and functionality of their performance. Path-plan the navigation of robots in both familiar and non-familiar environments and apply advanced problem solving techniques to these scenarios. Design experiments to establish the full abilities of robots in a working environment. After the course The transferrable skills such as problem identification, analysis, modelling, solution developing and evaluation gained in this course will prepare the students for a range of careers. The most common destination will be in industries developing robotic solutions for manufacturing, healthcare, transport, energy, defence, research, etc. including both and SMEs. The theoretical foundations taught in the course will enable the students to continue their studies and register on taught or research based Masters courses in AI, Robotics, Computer Science and engineering. They can also continue onto PhD research degrees which lead to a career in higher education or high-ranking RTD roles in industry.